I’ve been doing a fair bit of traveling lately, and although generally exhausting, traveling is great for playing podcast catch-up. I had been hopelessly behind on most podcasts, especially Science Friday. But I have been diligently listening away in airports, airplanes, cars and cabs and finally, last night, I got to last week’s Science Friday.

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One of the reasons that climate science is so difficult to effectively communicate is because it’s so data rich, and real data is messy. Like, super messy. I once did an experiment that involved running goats on treadmills. The goats had strain gauges attached to their legs so that I could measure relative amounts of different types of stress on the bones as the goats ran. I was expecting the data to match the idealized patterns I had seen in a book. They didn’t. They were a total mess. That’s when I learned that data pulled from the real world is not in any way, ideal.

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